Development of Multi-similarity index Clustering algorithm in Mathematical Modelling of Mines

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Nejadshahmohammad Farshad

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Journal Paper

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Journal: Modeling in Engineering Year:2019 | Volume:17 | Issue:56 Page(s): 267-279

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Information Journal Paper

Title

Development of Multi-similarity index Clustering algorithm in Mathematical Modelling of Mines

Author(s)

Nejadshahmohammad Farshad | Issue Writer Certificate

Keywords

ClusteringQ2

Multi-similarity indexQ1

Production schedulingQ1

MILPQ1

Open pitQ1

underground minesQ1

Abstract

Generating a production schedule that will provide optimal operating strategies without all technical and operational constraints is not practical. Creating such models with considering NPV as objective function result to oversize mathematical problems which needs more CPU time. This paper developed a multi-index Clustering algorithm to reduce the size of the large-scale mathematical problems by reducing the number of decisions variables. By the way the presented algorithm remove dependency to weight importance coefficients and marks the planning with minimum error and significant reduction in the size of the model and solving time. In application and comparison of the presented Clustering technique, 2478 extraction block aggregated in first step in 10 clusters, and in second step in 40 and finally in 109 clusters. By using CPLEX and MATLAB the MILP models of clusters and extraction block created to evaluate the Clustering technique. The results show that CPU time has 86% reduction whereas the NPV only show 1. 8% difference between clusters and block models.

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APA: Copy

Nejadshahmohammad, Farshad. (2019). Development of Multi-similarity index Clustering algorithm in Mathematical Modelling of Mines. JOURNAL OF MODELING IN ENGINEERING, 17(56 ), 267-279. SID. https://sid.ir/paper/361805/en

Vancouver: Copy

Nejadshahmohammad Farshad. Development of Multi-similarity index Clustering algorithm in Mathematical Modelling of Mines. JOURNAL OF MODELING IN ENGINEERING[Internet]. 2019;17(56 ):267-279. Available from: https://sid.ir/paper/361805/en

IEEE: Copy

Farshad Nejadshahmohammad, “Development of Multi-similarity index Clustering algorithm in Mathematical Modelling of Mines,” JOURNAL OF MODELING IN ENGINEERING, vol. 17, no. 56 , pp. 267–279, 2019, [Online]. Available: https://sid.ir/paper/361805/en

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